JBJS Reviews最新文献

{"title":"Extended Postoperative Antibiotic Prophylaxis Is Associated with No Clinical Value and Higher Projected Cost Following Adult Spinal Surgery: A Stratified Meta-Analysis and Probability-Based Cost Projections.","authors":"Mohamed E Awad, Nicole A Griffin, Aaron B Epperson, Nicholas A Alfonso, David Ou-Yang","doi":"10.2106/JBJS.RVW.24.00068","DOIUrl":"10.2106/JBJS.RVW.24.00068","url":null,"abstract":"<p><p>» We aimed to determine the cost-effectiveness of different protocols of extended postoperative antibiotic prophylaxis (E-PAP) following adult spinal surgery.</p><p><p>» Both stratified (randomized controlled trials only) and nonstratified (all studies) analyses demonstrated that E-PAP has no significant value in reducing the rate of surgical site infection (SSI), deep SSI, or superficial SSI.</p><p><p>» Notably, the E-PAP protocols were associated with a significant increase in the length of hospital stay, resulting in an additional expenditure of $244.4 per episode for the E-PAP 72 hours protocol compared with PAP 24 hours and $309.8 per episode for the E-PAP >48 hours protocol compared with PAP <48 hours.</p><p><p>» E-PAP does not demonstrate any significant reduction in the rate of SSIs following spine surgery. However, these extended protocols were significantly associated with an increase in the length of hospital stay and higher overall projected costs.</p>","PeriodicalId":47098,"journal":{"name":"JBJS Reviews","volume":"12 9","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142126984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mitigating the Risk of Instability After Reverse Shoulder Arthroplasty: A Critical Analysis Review of Patient and Surgical Factors.","authors":"Victoria E Bindi, Timothy R Buchanan, Robert J Cueto, Keegan M Hones, Thomas W Wright, Bradley S Schoch, Joseph J King, Kevin A Hao","doi":"10.2106/JBJS.RVW.24.00095","DOIUrl":"https://doi.org/10.2106/JBJS.RVW.24.00095","url":null,"abstract":"<p><p>» Instability and dislocation after reverse shoulder arthroplasty may occur in up to 31% of patients.</p><p><p>» Clinical risk factors for instability include younger age, male sex, increased body mass index, preoperative diagnosis of proximal humerus fracture or rotator cuff pathology, history of instability of the native shoulder or after surgery, and a medical history of Parkinson's disease.</p><p><p>» Patients with rheumatoid arthritis and decreased proximity to the coracoid may also be at greater risk.</p><p><p>» In patients at a high risk of instability, surgeons should consider a more lateralized prosthesis (particularly in patients with an incompetent rotator cuff), repairing the subscapularis (particularly when using a medialized prosthesis), and upsizing the glenosphere (>40 mm in male and 38-40 mm in female patients).</p><p><p>» While potentially useful, less evidence exists for the use of a constrained liner (particularly with a lateralized glenosphere and/or in low-demand patients) and rotating the polyethylene liner posteriorly to avoid impingement.</p>","PeriodicalId":47098,"journal":{"name":"JBJS Reviews","volume":"12 9","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142126985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Social Determinants of Health on the Prognosis of Primary Bone Tumors: A Systematic Review.","authors":"Alireza Ebrahimi, Sahar Hosseini, Saeed Shahabi, Soheil Ashkani-Esfahani, Santiago Lozano-Calderon","doi":"10.2106/JBJS.RVW.24.00071","DOIUrl":"https://doi.org/10.2106/JBJS.RVW.24.00071","url":null,"abstract":"<p><strong>Background: </strong>Although the prevalence of primary bone tumors (PBTs) was reported to be relatively low, they represent a difficult category of tumors for appropriate prediction, prevention, diagnosis, and treatment. Among different factors contributing to the prognosis and treatment outcomes of patients with these tumors, it is assumed that social determinants of health (SDOH) have not been well investigated nor applied in the process of decision making for these patients.</p><p><strong>Methods: </strong>In this systematic review, databases including PubMed, Web of Science, Scopus, Embase, Science Direct, and CINAHL were used. To ensure the quality of the studies and assess them for bias, we used the Methodological Index for Nonrandomized Studies scaling tool. The relevant data were extracted from the included studies and reported.</p><p><strong>Results: </strong>Twenty-five studies were included in our review based on the inclusion criteria. Age, socioeconomic status, education, and employment status; place of living and neighborhood; race and ethnicity; and insurance coverage were found to impact the outcomes and prognosis of PBTs.</p><p><strong>Conclusion: </strong>Literature has shown correlations of various SDOH with the outcomes of PBTs. SDOH are not independent of each other; including and interpreting them in the process of decision making should be in a multifactorial and intercalated manner. We suggest prospective studies on finding the effect of inventing with SDOH through changes in health care policies, educating patients and care providers, improving socioeconomic conditions, and providing better insurance support, on the outcomes of PBTs.</p><p><strong>Level of evidence: </strong>Level III. See Instructions for Authors for a complete description of levels of evidence.</p>","PeriodicalId":47098,"journal":{"name":"JBJS Reviews","volume":"12 9","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142126986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Partial-Thickness Rotator Cuff Tears: Current Concepts.","authors":"Andrew S Bi, Allison M Morgan, Michael O'Brien, Brian R Waterman, Eric J Strauss, Alexander Golant","doi":"10.2106/JBJS.RVW.24.00063","DOIUrl":"https://doi.org/10.2106/JBJS.RVW.24.00063","url":null,"abstract":"<p><p>» Partial-thickness rotator cuff tears (PTRCTs) are a common pathology with a likely high asymptomatic incidence rate, particularly in the overhead athlete.» The anatomy, 5-layer histology, and relationship to Ellman's classification of PTRCTs have been well studied, with recent interest in radiographic predictors such as the critical shoulder angle and acromial index.» Depending on the definition of tear progression, rates of PTRCT progression range from 4% to 44% and appear related to symptomatology and work/activity level.» Nearly all PTRCTs should be managed conservatively initially, particularly in overhead athletes, with those that fail nonoperative management undergoing arthroscopic debridement ± acromioplasty if <50% thickness or arthroscopic conversion repair or in situ repair if >50% thickness.» Augmentation of PTRCTs is promising, with leukocyte-poor platelet-rich plasma having the most robust body of supportive data. Mesenchymal signaling cell biologics and the variety of scaffold onlay augments require more rigorous studies before regular usage.</p>","PeriodicalId":47098,"journal":{"name":"JBJS Reviews","volume":"12 8","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142074158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum: Cementless Total Knee Arthroplasty: A State-of-the-Art Review.","authors":"","doi":"10.2106/JBJS.RVW.24.00064ER","DOIUrl":"10.2106/JBJS.RVW.24.00064ER","url":null,"abstract":"","PeriodicalId":47098,"journal":{"name":"JBJS Reviews","volume":"12 8","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142044184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Utility of Machine Learning, Natural Language Processing, and Artificial Intelligence in Predicting Hospital Readmissions After Orthopaedic Surgery: A Systematic Review and Meta-Analysis.","authors":"Mohamad Y Fares, Harry H Liu, Ana Paula Beck da Silva Etges, Benjamin Zhang, Jon J P Warner, Jeffrey J Olson, Catherine J Fedorka, Adam Z Khan, Matthew J Best, Jacob M Kirsch, Jason E Simon, Brett Sanders, John G Costouros, Xiaoran Zhang, Porter Jones, Derek A Haas, Joseph A Abboud","doi":"10.2106/JBJS.RVW.24.00075","DOIUrl":"10.2106/JBJS.RVW.24.00075","url":null,"abstract":"<p><strong>Background: </strong>Numerous applications and strategies have been utilized to help assess the trends and patterns of readmissions after orthopaedic surgery in an attempt to extrapolate possible risk factors and causative agents. The aim of this work is to systematically summarize the available literature on the extent to which natural language processing, machine learning, and artificial intelligence (AI) can help improve the predictability of hospital readmissions after orthopaedic and spine surgeries.</p><p><strong>Methods: </strong>This is a systematic review and meta-analysis. PubMed, Embase and Google Scholar were searched, up until August 30, 2023, for studies that explore the use of AI, natural language processing, and machine learning tools for the prediction of readmission rates after orthopedic procedures. Data regarding surgery type, patient population, readmission outcomes, advanced models utilized, comparison methods, predictor sets, the inclusion of perioperative predictors, validation method, size of training and testing sample, accuracy, and receiver operating characteristics (C-statistic), among other factors, were extracted and assessed.</p><p><strong>Results: </strong>A total of 26 studies were included in our final dataset. The overall summary C-statistic showed a mean of 0.71 across all models, indicating a reasonable level of predictiveness. A total of 15 articles (57%) were attributed to the spine, making it the most commonly explored orthopaedic field in our study. When comparing accuracy of prediction models between different fields, models predicting readmissions after hip/knee arthroplasty procedures had a higher prediction accuracy (mean C-statistic = 0.79) than spine (mean C-statistic = 0.7) and shoulder (mean C-statistic = 0.67). In addition, models that used single institution data, and those that included intraoperative and/or postoperative outcomes, had a higher mean C-statistic than those utilizing other data sources, and that include only preoperative predictors. According to the Prediction model Risk of Bias Assessment Tool, the majority of the articles in our study had a high risk of bias.</p><p><strong>Conclusion: </strong>AI tools perform reasonably well in predicting readmissions after orthopaedic procedures. Future work should focus on standardizing study methodologies and designs, and improving the data analysis process, in an attempt to produce more reliable and tangible results.</p><p><strong>Level of evidence: </strong>Level III. See Instructions for Authors for a complete description of levels of evidence.</p>","PeriodicalId":47098,"journal":{"name":"JBJS Reviews","volume":"12 8","pages":""},"PeriodicalIF":16.4,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142037271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence Models Are Limited in Predicting Clinical Outcomes Following Hip Arthroscopy: A Systematic Review.","authors":"Apoorva Mehta, Dany El-Najjar, Harrison Howell, Puneet Gupta, Emily Arciero, Erick M Marigi, Robert L Parisien, David P Trofa","doi":"10.2106/JBJS.RVW.24.00087","DOIUrl":"https://doi.org/10.2106/JBJS.RVW.24.00087","url":null,"abstract":"<p><strong>Background: </strong>Hip arthroscopy has seen a significant surge in utilization, but complications remain, and optimal functional outcomes are not guaranteed. Artificial intelligence (AI) has emerged as an effective supportive decision-making tool for surgeons. The purpose of this systematic review was to characterize the outcomes, performance, and validity (generalizability) of AI-based prediction models for hip arthroscopy in current literature.</p><p><strong>Methods: </strong>Two reviewers independently completed structured searches using PubMed/MEDLINE and Embase databases on August 10, 2022. The search query used the terms as follows: (artificial intelligence OR machine learning OR deep learning) AND (hip arthroscopy). Studies that investigated AI-based risk prediction models in hip arthroscopy were included. The primary outcomes of interest were the variable(s) predicted by the models, best model performance achieved (primarily based on area under the curve, but also accuracy, etc), and whether the model(s) had been externally validated (generalizable).</p><p><strong>Results: </strong>Seventy-seven studies were identified from the primary search. Thirteen studies were included in the final analysis. Six studies (n = 6,568) applied AI for predicting the achievement of minimal clinically important difference for various patient-reported outcome measures such as the visual analog scale and the International Hip Outcome Tool 12-Item Questionnaire, with area under a receiver-operating characteristic curve (AUC) values ranging from 0.572 to 0.94. Three studies used AI for predicting repeat hip surgery with AUC values between 0.67 and 0.848. Four studies focused on predicting other risks, such as prolonged postoperative opioid use, with AUC values ranging from 0.71 to 0.76. None of the 13 studies assessed the generalizability of their models through external validation.</p><p><strong>Conclusion: </strong>AI is being investigated for predicting clinical outcomes after hip arthroscopy. However, the performance of AI models varies widely, with AUC values ranging from 0.572 to 0.94. Critically, none of the models have undergone external validation, limiting their clinical applicability. Further research is needed to improve model performance and ensure generalizability before these tools can be reliably integrated into patient care.</p><p><strong>Level of evidence: </strong>Level IV. See Instructions for Authors for a complete description of levels of evidence.</p>","PeriodicalId":47098,"journal":{"name":"JBJS Reviews","volume":"12 8","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142037269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Femoral Lengthening in Children with Congenital Femoral Deficiency: A Systematic Review.","authors":"Ahmed O Sabry, Sherif Galal, Rahma Menshawey, Esraa Menshawey, Mariam Hegazy, Mai Farahat, Nadine Nasr, Youssef Boutros, Youssef Zakaria, Hassan El Barbary, Mohamed Hegazy","doi":"10.2106/JBJS.RVW.24.00088","DOIUrl":"10.2106/JBJS.RVW.24.00088","url":null,"abstract":"<p><strong>Background: </strong>Congenital femoral deficiency (CFD) presents a significant challenge in pediatric orthopaedics, characterized by a spectrum of congenital anomalies ranging from mild femoral shortening to complete absence of the proximal femur and hip joint. This review aims at reviewing the latest concepts of femoral limb lengthening modalities in treating CFD, to explore the efficacy, complications, and long-term outcomes of various surgical techniques.</p><p><strong>Methods: </strong>A comprehensive search of the literature was performed for clinical studies involving lengthening in patients with proximal focal femoral deficiency (PFFD) in several databases.</p><p><strong>Results: </strong>We analyze the evolution of limb lengthening procedures, from the Wagner and Ilizarov methods to the latest advancements in distraction osteogenesis, and assess their role in addressing the functional needs of patients. We also analyze the possible risk factors for the occurrence of complications with each method and alternatives to avoid them.</p><p><strong>Conclusion: </strong>The review highlights the importance of individualized treatment plans, considering factors such as the degree of femoral deficiency and the potential for achieving a functional limb length; however, it requires a multidisciplinary approach and careful preoperative planning to optimize patient outcomes. The review underlines the need for ongoing research to refine surgical techniques and to compare them and improve the quality of life for individuals with PFFD.</p><p><strong>Level of evidence: </strong>Level III. See Instructions for Authors for a complete description of levels of evidence.</p>","PeriodicalId":47098,"journal":{"name":"JBJS Reviews","volume":"12 8","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142037270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extracorporeal Shockwave Therapy for Greater Trochanteric Pain Syndrome: A Systematic Review with Meta-Analysis of Randomized Clinical Trials.","authors":"Hye Chang Rhim, Jaehyung Shin, Alexandra Beling, Raymond Guo, Xiaoyu Pan, Wilma Afunugo, Joseph Ruiz, Michael N Andrew, James Kim, Adam S Tenforde","doi":"10.2106/JBJS.RVW.24.00091","DOIUrl":"10.2106/JBJS.RVW.24.00091","url":null,"abstract":"<p><strong>Background: </strong>Greater trochanteric pain syndrome (GTPS) affects 17.6% of adults aged 50 to 79 years, particularly women. While exercise therapy and corticosteroid injections (CSIs) are common treatments, their limitations include inadequate pain control and potential tendon weakening. Extracorporeal shockwave therapy (ESWT) is an emerging alternative for GTPS. This systematic review assessed ESWT's efficacy in GTPS by evaluating pain and functional outcomes at different follow-up intervals.</p><p><strong>Methods: </strong>A literature search of PubMed, Embase, and Web of Science for randomized clinical trials (RCTs) was conducted comparing ESWT with other GTPS treatments up to March 1, 2024. Two reviewers independently extracted data, assessing study quality using the Cochrane risk-of-bias tool. A random-effects pairwise meta-analysis compared ESWT with other treatments.</p><p><strong>Results: </strong>Eight RCTs involving 754 patients (169 male, 585 female patients) were included. Seven RCTs were deemed high risk of bias, and 1 RCT had some concerns. Five RCTs investigated focused on focused ESWT, and 3 examined radial ESWT. ESWT provided significantly lower pain scores than other treatments at 2 to 4 months (standardized mean difference = -0.431; 95% confidence interval [CI], -0.82 to -0.039; I2 = 83%). Functional improvement (Lower Extremity Functional Scale) was significantly higher at 6 months (weighted mean difference = 6.68; 95% CI, 3.11-10.25; I2 = 0%) but did not exceed the minimal clinically important difference. Focused ESWT provided greater pain reduction than radial ESWT.</p><p><strong>Conclusion: </strong>Three weekly ESWT sessions offer short-term pain relief at 2 to 4 months for patients with GTPS, especially with focused ESWT. Functional improvements at 6 months were notable but not clinically significant. These findings suggest ESWT may complement or serve as an alternative to CSIs and exercise. However, caution is needed when interpreting these results due to high risk of bias with the included RCTs and heterogeneity across the studies. Further high-quality trials are needed to confirm ESWT's long-term benefits over other treatments.</p><p><strong>Level of evidence: </strong>Level II. See Instructions for Authors for a complete description of levels of evidence.</p>","PeriodicalId":47098,"journal":{"name":"JBJS Reviews","volume":"12 8","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do Adductor Tenotomies Prevent Progressive Migration in Children with Cerebral Palsy?: A Systematic Review.","authors":"Renée Anne van Stralen, Merel Charlotte Rosalie Roelen, Pranai Buddhdev, Max Reijman, Denise Eygendaal, Jaap Johannes Tolk","doi":"10.2106/JBJS.RVW.24.00093","DOIUrl":"10.2106/JBJS.RVW.24.00093","url":null,"abstract":"<p><strong>Background: </strong>Up to one-third of children with cerebral palsy (CP) develop migration of the hip, and the risk increases with a higher Gross Motor Function Classification System (GMFCS). In progressive hip migration in young children, adductor tenotomy is an accepted treatment option to delay or prevent progressive hip migration. However, there is quite a large variability in reported results. This systematic review aims to determine the effectiveness of a soft-tissue release in the prevention of progressive hip migration in children with CP.</p><p><strong>Methods: </strong>This systematic review was performed in accordance with the guidelines of the Cochrane Handbook for Systematic Reviews and the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols statements. Our inclusion criteria were studies describing pediatric, skeletally immature patients with CP and a \"hip at risk\" of progressive hip migration. Exclusion criteria were simultaneous bony reconstructions, case reports, technical notes, published abstracts, or studies with a follow-up under 1 year postoperatively. The primary outcomes were defined as failure rate (progressive hip migration and/or need for bony surgery, as defined by each paper) and change in migration percentage (MP) at final follow-up. As secondary analyses, we evaluated the outcome after specific subtypes of surgeries and assessed whether performing lengthening of iliopsoas, neurectomy of the anterior branch of the obturator nerve, age at the time of surgery, GMFCS level, and postoperative management impact the outcome.</p><p><strong>Results: </strong>Our literature search identified 380 titles. Eighty-four articles underwent full-text review, of which 27 met our inclusion/exclusion criteria and were subsequently selected for quantitative analysis. A prevalence meta-analysis was performed including 17 studies (2,213 hips). Mean follow-up ranged from 12 to 148.8 months. The mean preoperative MP was 33.4% (2,740 hips) and 29.9% at follow-up. The overall reported failure rate was 39% (95% confidence interval, 26%-52%). Performing a release of only adductor longus had a failure rate of 87%, whereas more extensive soft-tissue releases showed significantly better results with failure rates ranging from 0 to 44% (p < 0.001). Lengthening of the iliopsoas had no significant impact on failure rate (p = 0.48), nor did performing an obturator neurectomy (p = 0.92).</p><p><strong>Conclusion: </strong>The failure rate of adductor tenotomies to prevent progressive hip migration appears to be as high as 39% in studies with a varying follow-up. The failure rates are significantly higher when isolated release of the adductor longus is performed. This systematic review supports clinical decision making in children with CP and early hip migration.</p><p><strong>Level of evidence: </strong>Level IIA. See Instructions for Authors for a complete description of levels of evidence.</p>","PeriodicalId":47098,"journal":{"name":"JBJS Reviews","volume":"12 8","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11328925/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142009691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}